Transform Google Drive Documents into Vector Embeddings

Say goodbye to manual document parsing!

This automation monitors a Google Drive folder, processes new files into vector embeddings using OpenAI, and stores them in a Postgres database with PGVector — ready for powerful semantic search or RAG-based AI agents.

Perfect for teams building AI assistants, semantic search, or automated document pipelines.

What it does:

📂 Monitors a Google Drive folder for new files

🧠 Converts PDFs, TXTs, and JSONs into embeddings via OpenAI

🗃️ Stores embeddings in Postgres with PGVector for querying

🚚 Moves processed files to a separate “vectorized” folder

⚙️ Supports both manual and scheduled (3 AM daily) triggers

✅ Setup guide & importable automation included

Need help setting it up? We offer full configuration and testing for a one-time fee.